Lebesgue sampling approach to robust stabilization of boolean control networks with external disturbances |
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Institution: | 1. School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, PR China;2. Shandong Key Laboratory of Intelligent Buildings Technology, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, PR China;1. School of Mathematics, Shandong University, Jinan 250100, Shandong, P. R. China;2. School of Management, Shandong University, Jinan 250100, Shandong, P. R. China |
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Abstract: | This paper introduces the Lebesgue sampling approach to the robust stabilization of Boolean control networks (BCNs) with external disturbances. Given a Lebesgue sampling region and a feedback control, a time aggregated system is obtained via the semi-tensor product method. Then, a new criterion is presented for the robust stabilization of time aggregated system. Furthermore, given a signal of Lebesgue sampling, a sequence of the Lebesgue type robust reachable sets is constructed. Based on these reachable sets, several algorithms are presented to design both Lebesgue sampling region and sampled-data state feedback control for the robust stabilization of BCNs. |
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